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This cluster provides a comprehensive view of the concepts, methods, and technologies of Artificial Intelligence and Machine Learning. It covers fundamental principles, use cases, and current trends in the industry.
This segment describes the foundational concepts of artificial intelligence and machine learning. It includes different learning paradigms, model types, and core terminology that serve as a shared reference frame. The focus is on conceptual understanding rather than specific algorithms or implementations.
Learning paradigm using deep neural networks for automatic feature extraction and prediction.
Machine learning extracts patterns and makes predictions from data using statistical models and algorithms.
Reinforcement Learning is a machine learning paradigm where agents learn to select optimal actions in sequential problems via rewards and penalties.